543 Dashboard

library(flexdashboard)
###
library(ggplot2)
library(plotly)

Registered S3 method overwritten by 'data.table':
  method           from
  print.data.table     

Attaching package: ‘plotly’

The following object is masked from ‘package:ggplot2’:

    last_plot

The following object is masked from ‘package:stats’:

    filter

The following object is masked from ‘package:graphics’:

    layout

library(plyr)

Attaching package: ‘plyr’

The following objects are masked from ‘package:plotly’:

    arrange, mutate, rename, summarise

library(sf)

Linking to GEOS 3.9.1, GDAL 3.4.0, PROJ 8.1.1; sf_use_s2() is TRUE

Bar chart

Get the data

myWeb1="https://raw.githubusercontent.com/tianyl27/543_coursework_1/main/"

LifeExp_bar=readRDS(file=url(paste0(myWeb1,"plot1.rds")))

Plot

ggplotly(LifeExp_bar)

#ANZ: Australia and New Zealand

chart

Get the data

myWeb2="https://raw.githubusercontent.com/tianyl27/543_coursework_2/main/"
CovidDeath=readRDS(file=url(paste0(myWeb2,"CovidDeath.rds")))

Plot

ggplotly(CovidDeath)

No summary function supplied, defaulting to `mean_se()`
No summary function supplied, defaulting to `mean_se()`

GiniAge=readRDS(file=url(paste0(myWeb2,"GiniAndAge.rds")))
# ggplotly(GiniAge)

myWeb3="https://raw.githubusercontent.com/tianyl27/543_coursework_3/main/"
CountryMap=readRDS(file=url(paste0(myWeb3,"CountryMap.rds")))
ggplotly(CountryMap)

linkMap="https://github.com/EvansDataScience/VAforPM_Spatial/raw/main/worldMap.geojson" 

library(sf)
mapWorld=read_sf(linkMap)
base=ggplot(data=mapWorld) + geom_sf(fill='grey90',
                                     color=NA) + theme_classic()

WHRData2021

Map2021=readRDS(file=url(paste0(myWeb3,"mapWorldVars.rds")))
# leaflet

TitleText = "Country Performance in COVID epidemic"
CaptionText = "Source: https://worldhappiness.report/ed/2021/"
theLegTitle="World_Performance\n(grey is missing)"

clusterMap= base + geom_sf(data=Map2021,
                       aes(fill=cluster,text=NAME),
                       color=NA)

Warning: Ignoring unknown aesthetics: text

clusterMap = clusterMap+ scale_fill_brewer(palette ='BuGn',
                              direction = -1,
                              name=theLegTitle)+ labs(title=TitleText,
                                                      caption=CaptionText) +
  theme(plot.title = element_text(hjust = 1), 
        plot.caption = element_text(hjust = 0),
        axis.title.x = element_blank())
# palette ='BuGn'
# Next: change the color
# How to get rid of the axis

clusterMap%>%ggplotly()

library(leaflet)
library(rgdal)


# world <- rgdal::readOGR("https://github.com/EvansDataScience/VAforPM_Dashboard/raw/main/worldMap.geojson") 
m <-leaflet(Map2021) %>%addTiles()
factpal <- colorFactor(topo.colors(5), Map2021$cluster)

leaflet(Map2021) %>%addTiles() %>%
  addPolygons(fillColor = ~factpal(cluster),
              weight = 2,
              opacity = 1,
              color = "white",
              dashArray = "3",
              fillOpacity = 0.7,
              label = ~paste(NAME,": ", cluster),
              highlightOptions = highlightOptions(
                weight = 5,
                color = "#666",
                dashArray = "",
                fillOpacity = 0.7,
                bringToFront = TRUE)
              ) %>%
  addLegend("bottomright", pal = factpal, values = ~cluster,
    title = "Perfomance\n(grey is missing)",
    labFormat = labelFormat(prefix = ""),
    opacity = 1
  )

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